Using Genetic Algorithm for Supply Chain Network Optimization

Supply chain networks(SCN), consisting of manufacturers, distributors, retailers, and consumers, provide the critical infrastructure for the production of goods, their distribution, and their ultimate consumption in today’s globalized economies and societies. The network design problem is one of the most comprehensive strategic decision problems that need to be optimized for long-term efficient operation of whole supply chain. Supply chain network design is to provide an optimal platform for efficient and effective supply chain management. It usually involves multiple and conflicting objectives such as cost, service level, resource utilization, etc. This paper proposes a solution procedure based on genetic algorithms to find the set of Paretooptimal solutions for multi-objective SCN design problem.Finally, the algorithm is examined on an artificial company willing to develop its supply chain network and results are of satisfactory.

کلیدواژه ها:

Supply chain Management ، Genetic algorithm ، Multi-objective optimization ، Supply chain network